Abstract
OBJECTIVE: The aim of this study was to explore the potential mechanism underlying the effects of a high-fat diet (HFD) on heart failure (HF), utilizing the integration of serum metabolomics. METHOD: A Sprague-Dawley rat model for HF induced by pressure overload via abdominal aortic contraction was established. A metabolomics approach based on liquid chromatography-mass spectrometry (LC-MS) was performed to analyze the serum biomarkers from control + chew diet (CCD) group, model + chew diet (MCD) group, and model + HFD(MHFD) group. Principal component analysis (PCA) and orthogonal projection to latent structures-discriminan* t analysis (OPLS-DA) were employed to identify differences in metabolic profiles among the three groups. RESULTS: There were significant differences in OPLS-DA scores between the CCD vs. MCD groups and MCD vs. MHFD groups. In comparison to the CCD group, the MCD group demonstrated significant alterations in multiple metabolites, such as Lyso PE (20:4 (5Z, 8Z, 11Z, 14Z))/0:0, Lyso PE (16:0/0:0), L-glutamine, N2-γ-glutamine, butyrylcarnitine, PHOOA-P, and so on. In addition, the levels of metabolites such as cholic acid, (9 S, 10E, 12 S, 13 S) -9,12,13-trihydroxyoctadec-10-enoylcarnitine, and 8-deoxy19,20-epoxycytidine C in the MHFD group were significantly higher than those in the MCD group. 17 metabolites showed a significant restorative trend from HF to a normal condition, implying their significant relationship with the positive effects of HFD on HF. These metabolites can be considered potential biomarkers for HFD treatment. CONCLUSIONS: These results can be used to better understand the effects of HFD on HF rats, which will provide new ideas for treatment.